The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-30"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "17295952 (up from 17029155 yesterday: 1.57 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "673171 (up from 667011 yesterday: 0.92 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5027434

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.89



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4495015 68033 1.54 1377069 152055 1342 0.89 3.38
Brazil 2610102 57837 2.27 854323 91263 1129 1.25 3.50
India 1634746 52783 3.34 840944 35718 763 2.18 2.18
Russia 832993 5484 0.66 126753 13778 128 0.94 1.65
South Africa 482169 11046 2.34 243830 7812 315 4.20 1.62
Mexico 416179 7730 1.89 133896 46000 639 1.41 11.05
Peru 400683 0 0.00 84235 18816 0 0.00 4.70
Chile 353536 1961 0.56 47320 9377 99 1.07 2.65
United Kingdom 303910 847 0.28 14756 46084 38 0.08 15.16
Iran 301530 2621 0.88 51072 16569 226 1.38 5.49
Spain 285430 2789 0.99 32374 28443 2 0.01 9.96
Pakistan 277402 1114 0.40 33803 5924 32 0.54 2.14
Colombia 276055 0 0.00 147417 9808 354 3.74 3.55
Saudi Arabia 274219 1629 0.60 50892 2842 26 0.92 1.04
Italy 247158 382 0.15 4795 35132 3 0.01 14.21
Bangladesh 234889 2695 1.16 59395 3083 48 1.58 1.31
Turkey 229891 967 0.42 19929 5674 15 0.27 2.47
France 222469 1392 0.63 15113 30241 15 0.05 13.59
Germany 209535 989 0.47 10534 9144 9 0.10 4.36
Argentina 185373 6377 3.56 94680 3441 153 4.65 1.86
Iraq 121263 2963 2.50 51651 4671 68 1.48 3.85
Canada 117677 320 0.27 9021 8974 12 0.13 7.63
Qatar 110460 307 0.28 8350 171 2 1.18 0.15
Indonesia 106336 1904 1.82 35600 5058 83 1.67 4.76
Egypt 93757 401 0.43 14503 4774 46 0.97 5.09
Kazakhstan 89078 1414 1.61 34331 793 0 0.00 0.89
China 87489 276 0.32 2497 4659 1 0.02 5.33
Philippines 85486 0 0.00 33732 1962 0 0.00 2.30
Ecuador 84370 1177 1.41 20149 5657 34 0.60 6.70
Sweden 80100 318 0.40 5767 5739 9 0.16 7.16
Oman 79159 590 0.75 27434 421 9 2.18 0.53
Bolivia 75234 1700 2.31 31121 2894 86 3.06 3.85
Ukraine 70300 1222 1.77 18015 1697 24 1.43 2.41
Israel 70036 1737 2.54 35211 500 9 1.83 0.71
Belgium 68006 671 1.00 5796 9840 4 0.04 14.47
Dominican Republic 67915 1733 2.62 27125 1146 23 2.05 1.69
Belarus 67665 147 0.22 3254 553 5 0.91 0.82
Kuwait 66529 626 0.95 13689 445 1 0.23 0.67
Panama 64191 922 1.46 21975 1397 23 1.67 2.18
United Arab Emirates 60223 302 0.50 6646 349 2 0.58 0.58
Netherlands 54249 354 0.66 3236 6166 0 0.00 11.37
Singapore 51809 278 0.54 6386 27 0 0.00 0.05
Portugal 50868 255 0.50 5591 1727 2 0.12 3.40
Romania 49591 1356 2.81 18802 2304 35 1.54 4.65
Guatemala 48826 1221 2.56 22168 1867 32 1.74 3.82
Poland 45031 615 1.38 8080 1709 15 0.89 3.80
Nigeria 42689 481 1.14 11941 878 5 0.57 2.06
Honduras 41426 482 1.18 15042 1312 53 4.21 3.17
Bahrain 40755 444 1.10 9227 146 2 1.39 0.36
Armenia 38196 259 0.68 7850 728 5 0.69 1.91
Afghanistan 36542 71 0.19 2634 1271 0 0.00 3.48
Kyrgyzstan 35223 631 1.82 25865 1364 17 1.26 3.87
Japan 35144 1762 5.28 14527 1007 6 0.60 2.87
Ghana 35142 0 0.00 11679 175 0 0.00 0.50
Switzerland 35022 220 0.63 2436 1980 1 0.05 5.65
Azerbaijan 31560 339 1.09 9096 441 3 0.68 1.40
Algeria 29831 602 2.06 12023 1200 14 1.18 4.02
Ireland 26027 85 0.33 462 1763 -1 -0.06 6.77
Serbia 25213 321 1.29 7871 565 7 1.25 2.24
Moldova 24343 396 1.65 5677 771 12 1.58 3.17
Uzbekistan 23271 686 3.04 11707 136 5 3.82 0.58
Morocco 23259 1046 4.71 8180 346 12 3.59 1.49
Austria 20955 105 0.50 2340 718 2 0.28 3.43
Kenya 19913 788 4.12 10938 325 14 4.50 1.63
Nepal 19547 274 1.42 3016 52 3 6.12 0.27
Venezuela 17859 701 4.09 9487 158 2 1.28 0.88
Costa Rica 17290 490 2.92 10805 140 7 5.26 0.81
Cameroon 17255 0 0.00 2339 391 0 0.00 2.27
Australia 16903 605 3.71 7529 196 7 3.70 1.16
Ethiopia 16615 805 5.09 9642 263 10 3.95 1.58
Czechia 16371 278 1.73 3452 379 5 1.34 2.32
El Salvador 16230 389 2.46 7386 439 9 2.09 2.70
Cote d’Ivoire 15978 165 1.04 4228 100 1 1.01 0.63
Korea, South 14305 36 0.25 967 301 1 0.33 2.10
Denmark 13964 96 0.69 847 615 1 0.16 4.40
West Bank and Gaza 11548 264 2.34 6328 81 1 1.25 0.70
Sudan 11496 0 0.00 1338 725 0 0.00 6.31
Bosnia and Herzegovina 11444 317 2.85 5358 328 12 3.80 2.87
Bulgaria 11420 265 2.38 4748 374 6 1.63 3.27
Madagascar 10748 431 4.18 6966 105 6 6.06 0.98
North Macedonia 10617 114 1.09 3045 480 4 0.84 4.52
Senegal 10106 145 1.46 2322 204 4 2.00 2.02

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 492934 8021 1.65 190450 9026 118 1.32 1.83 12475.48 228.44 1 in 80
Florida 461379 9956 2.21 228661 6586 253 3.99 1.43 21481.73 306.64 1 in 47
Texas 428229 9234 2.20 191688 6442 249 4.02 1.50 14768.61 222.17 1 in 68
New York 414370 777 0.19 14857 32683 25 0.08 7.89 21300.47 1680.05 1 in 47
Georgia 182286 3963 2.22 75559 3671 29 0.80 2.01 17168.57 345.75 1 in 58
New Jersey 180970 370 0.20 6700 15809 11 0.07 8.74 20374.48 1779.85 1 in 49
Illinois 178135 1772 1.00 26563 7670 16 0.21 4.31 14057.57 605.28 1 in 71
Arizona 170798 2525 1.50 58127 3626 172 4.98 2.12 22429.47 476.17 1 in 45
North Carolina 120532 2145 1.81 40876 1922 34 1.80 1.59 11492.28 183.26 1 in 87
Massachusetts 117098 414 0.35 6201 8580 0 0.00 7.33 16849.84 1234.62 1 in 59
Pennsylvania 115807 868 0.76 18265 7194 23 0.32 6.21 9046.02 561.94 1 in 111
Louisiana 114481 1708 1.51 42487 3925 42 1.08 3.43 24625.96 844.30 1 in 41
Tennessee 102871 2049 2.03 45280 1033 13 1.27 1.00 15054.64 151.17 1 in 66
Michigan 89781 807 0.91 14718 6443 21 0.33 7.18 8989.92 645.15 1 in 111
Ohio 89626 1733 1.97 28295 3442 20 0.58 3.84 7667.49 294.46 1 in 130
Virginia 88904 911 1.04 20916 2141 16 0.75 2.41 10415.77 250.83 1 in 96
South Carolina 87572 1726 2.01 36881 1667 52 3.22 1.90 17008.52 323.77 1 in 59
Maryland 87177 892 1.03 15730 3488 10 0.29 4.00 14419.72 576.94 1 in 69
Alabama 85762 1980 2.36 36588 1565 27 1.76 1.82 17491.08 319.18 1 in 57
Indiana 65253 954 1.48 15678 2946 14 0.48 4.51 9692.64 437.60 1 in 103
Mississippi 57579 1775 3.18 23988 1611 48 3.07 2.80 19346.81 541.30 1 in 52
Washington 55803 818 1.49 17222 1564 9 0.58 2.80 7328.14 205.39 1 in 136
Minnesota 53692 745 1.41 13529 1634 5 0.31 3.04 9520.48 289.74 1 in 105
Wisconsin 52108 1059 2.07 18200 919 8 0.88 1.76 8949.52 157.84 1 in 112
Connecticut 49670 130 0.26 2461 4431 6 0.14 8.92 13931.56 1242.82 1 in 72
Missouri 49139 2197 4.68 22729 1255 16 1.29 2.55 8006.45 204.48 1 in 125
Nevada 46824 1018 2.22 21920 801 21 2.69 1.71 15201.83 260.05 1 in 66
Colorado 46186 408 0.89 10679 1822 0 0.00 3.94 8020.16 316.39 1 in 125
Iowa 44285 662 1.52 11031 865 11 1.29 1.95 14036.14 274.16 1 in 71
Arkansas 41759 791 1.93 15707 442 8 1.84 1.06 13837.45 146.46 1 in 72
Utah 39696 502 1.28 12340 300 8 2.74 0.76 12381.95 93.58 1 in 81
Oklahoma 35740 1117 3.23 17243 536 13 2.49 1.50 9032.16 135.46 1 in 111
Kentucky 29386 659 2.29 11141 731 7 0.97 2.49 6577.47 163.62 1 in 152
Kansas 26885 294 1.11 9100 357 8 2.29 1.33 9228.32 122.54 1 in 108
Nebraska 25766 344 1.35 5143 328 4 1.23 1.27 13319.84 169.56 1 in 75
New Mexico 20388 252 1.25 6137 635 3 0.47 3.11 9723.25 302.84 1 in 103
Idaho 20242 568 2.89 10813 177 4 2.31 0.87 11295.35 98.77 1 in 89
Rhode Island 18950 150 0.80 1707 1007 0 0.00 5.31 17888.14 950.57 1 in 56
Oregon 18131 410 2.31 6943 316 5 1.61 1.74 4298.75 74.92 1 in 233
Puerto Rico 16572 511 3.18 7710 214 3 1.42 1.29 5188.98 67.01 1 in 193
Delaware 14689 87 0.60 2158 581 0 0.00 3.96 15084.76 596.65 1 in 66
District of Columbia 12057 58 0.48 1378 584 0 0.00 4.84 17083.98 827.49 1 in 59
South Dakota 8685 44 0.51 1349 129 0 0.00 1.49 9817.34 145.82 1 in 102
New Hampshire 6544 31 0.48 571 415 4 0.97 6.34 4812.79 305.21 1 in 208
West Virginia 6375 98 1.56 2549 112 1 0.90 1.76 3567.14 62.67 1 in 280
North Dakota 6301 74 1.19 2230 103 1 0.98 1.63 8268.36 135.16 1 in 121
Maine 3888 22 0.57 402 122 1 0.83 3.14 2892.40 90.76 1 in 346
Montana 3814 138 3.75 2348 55 1 1.85 1.44 3568.56 51.46 1 in 280
Alaska 2879 81 2.89 1611 23 1 4.55 0.80 3935.51 31.44 1 in 254
Wyoming 2686 58 2.21 917 26 0 0.00 0.97 4640.96 44.92 1 in 215
Hawaii 1989 124 6.65 859 26 0 0.00 1.31 1404.79 18.36 1 in 712
Vermont 1407 1 0.07 135 57 1 1.79 4.05 2254.85 91.35 1 in 443

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 7633840 492934 6.46 2555406 190450 7.45 193201.99
2 Florida 3579117 461379 12.89 1221719 228661 18.72 166643.12
3 Texas 3609474 428229 11.86 1296262 191688 14.79 124482.30
4 New York 5820368 414370 7.12 1352352 14857 1.10 299192.93
5 Georgia 1541389 182286 11.83 521967 75559 14.48 145175.43
6 New Jersey 2059564 180970 8.79 460147 6700 1.46 231875.70
7 Illinois 2651028 178135 6.72 771150 26563 3.44 209206.55
8 Arizona 903954 170798 18.89 250893 58127 23.17 118708.69
9 North Carolina 1724924 120532 6.99 603113 40876 6.78 164465.12
10 Massachusetts 1169152 117098 10.02 243391 6201 2.55 168235.34
11 Pennsylvania 1199937 115807 9.65 319914 18265 5.71 93730.51
12 Louisiana 1317390 114481 8.69 437250 42487 9.72 283383.17
13 Tennessee 1480812 102871 6.95 508098 45280 8.91 216709.25
14 Michigan 1813178 89781 4.95 589625 14718 2.50 181556.42
15 Ohio 1446472 89626 6.20 530070 28295 5.34 123745.37
16 Virginia 1094973 88904 8.12 341545 20916 6.12 128284.29
17 South Carolina 691391 87572 12.67 227626 36881 16.20 134284.21
18 Maryland 893965 87177 9.75 281384 15730 5.59 147868.40
19 Alabama 680108 85762 12.61 209604 36588 17.46 138707.39
20 Indiana 735848 65253 8.87 193556 15678 8.10 109302.45
21 Mississippi 449881 57579 12.80 125077 23988 19.18 151162.12
22 Washington 958307 55803 5.82 313235 17222 5.50 125846.42
23 Minnesota 1007882 53692 5.33 302442 13529 4.47 178714.14
24 Wisconsin 923681 52108 5.64 262917 18200 6.92 158641.73
25 Connecticut 778728 49670 6.38 233107 2461 1.06 218419.44
26 Missouri 675133 49139 7.28 220308 22729 10.32 110002.59
27 Nevada 463645 46824 10.10 133867 21920 16.37 150526.47
28 Colorado 519672 46186 8.89 148970 10679 7.17 90240.64
29 Iowa 469098 44285 9.44 114439 11031 9.64 148680.69
30 Arkansas 502717 41759 8.31 138056 15707 11.38 166582.56
31 Utah 524367 39696 7.57 135634 12340 9.10 163560.16
32 Oklahoma 615016 35740 5.81 213262 17243 8.09 155425.96
33 Kentucky 579306 29386 5.07 155293 11141 7.17 129666.16
34 Kansas 284949 26885 9.44 76467 9100 11.90 97809.23
35 Nebraska 266893 25766 9.65 69058 5143 7.45 137971.41
36 New Mexico 551637 20388 3.70 161950 6137 3.79 263081.54
37 Idaho 175519 20242 11.53 60899 10813 17.76 97942.32
38 Rhode Island 204519 18950 9.27 39382 1707 4.33 193058.83
39 Oregon 398639 18131 4.55 116564 6943 5.96 94514.90
41 Delaware 178863 14689 8.21 48658 2158 4.44 183682.08
42 District of Columbia 182990 12057 6.59 67067 1378 2.05 259284.82
43 South Dakota 110345 8685 7.87 23035 1349 5.86 124731.68
44 New Hampshire 157397 6544 4.16 27769 571 2.06 115757.69
45 West Virginia 277481 6375 2.30 80292 2549 3.17 155264.79
46 North Dakota 151861 6301 4.15 34012 2230 6.56 199276.44
47 Maine 164807 3888 2.36 49049 402 0.82 122604.92
48 Montana 168616 3814 2.26 59851 2348 3.92 157765.22
49 Alaska 225057 2879 1.28 89313 1611 1.80 307646.15
50 Wyoming 52641 2686 5.10 13596 917 6.74 90954.96
51 Hawaii 119212 1989 1.67 30060 859 2.86 84196.88
52 Vermont 93284 1407 1.51 20535 135 0.66 149496.23

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 422118 10320 2.51 256158 60.68 150662 14994 265 1.80 3.55
Tamil Nadu 245859 5881 2.45 183956 74.82 57968 3935 94 2.45 1.60
Andhra Pradesh 140933 10376 7.95 63864 45.32 75720 1349 68 5.31 0.96
Delhi 135598 1195 0.89 120930 89.18 10705 3963 27 0.69 2.92
Karnataka 124115 5483 4.62 49788 40.11 72004 2314 84 3.77 1.86
Uttar Pradesh 85461 4422 5.46 48863 57.18 34968 1630 43 2.71 1.91
West Bengal 67692 0 0.00 46256 68.33 19900 1536 0 0.00 2.27
Telangana 62703 1986 3.27 45388 72.39 16796 519 14 2.77 0.83
Gujarat 61438 1153 1.91 45009 73.26 13993 2436 22 0.91 3.96
Bihar 50987 2986 6.22 33650 66.00 17038 298 13 4.56 0.58
Rajasthan 41298 362 0.88 29305 70.96 11319 674 7 1.05 1.63
Assam 38408 0 0.00 29081 75.72 9226 98 4 4.26 0.26
Haryana 34965 711 2.08 28227 80.73 6317 421 4 0.96 1.20
Odisha 31877 1499 4.93 20518 64.37 11145 214 9 4.39 0.67
Madhya Pradesh 31806 838 2.71 22271 70.02 8668 867 10 1.17 2.73
Kerala 23614 1310 5.87 13023 55.15 10495 74 3 4.23 0.31
Jammu and Kashmir 20359 490 2.47 12217 60.01 7765 377 12 3.29 1.85
Punjab 16119 663 4.29 10734 66.59 4999 386 16 4.32 2.39
Jharkhand 10488 89 0.86 4176 39.82 6208 104 1 0.97 0.99
Chhattisgarh 9086 230 2.60 6230 68.57 2803 53 2 3.92 0.58
Uttarakhand 7183 118 1.67 4168 58.03 2897 80 4 5.26 1.11
Goa 5913 209 3.66 4211 71.22 1657 45 3 7.14 0.76
Tripura 4722 219 4.86 2962 62.73 1721 21 0 0.00 0.44
Puducherry 3472 174 5.28 2100 60.48 1323 49 1 2.08 1.41
Manipur 2621 116 4.63 1689 64.44 927 5 1 25.00 0.19
Himachal Pradesh 2512 6 0.24 1388 55.25 1094 13 0 0.00 0.52
Nagaland 1693 127 8.11 635 37.51 1052 4 0 0.00 0.24
Arunachal Pradesh 1484 0 0.00 827 55.73 654 3 0 0.00 0.20
Ladakh 1404 26 1.89 1095 77.99 302 7 1 16.67 0.50
Dadra and Nagar Haveli and Daman and Diu 1149 46 4.17 725 63.10 412 2 0 0.00 0.17
Chandigarh 1051 35 3.44 667 63.46 369 15 1 7.14 1.43
Meghalaya 823 20 2.49 215 26.12 603 5 0 0.00 0.61
Sikkim 639 29 4.75 231 36.15 407 1 0 0.00 0.16
Andaman and Nicobar Islands 548 78 16.60 214 39.05 328 5 2 66.67 0.91
Mizoram 408 -1 -0.24 247 60.54 160 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1291740 96142 88 0.09 7.44 151 13 6035 16802 17.48
Piemonte 496601 31646 10 0.03 6.37 124 5 790 4128 13.04
Emilia-Romagna 644350 29634 35 0.12 4.60 65 4 1471 4289 14.47
Veneto 1214358 20003 112 0.56 1.65 31 3 891 2073 10.36
Toscana 421637 10469 11 0.11 2.48 17 0 389 1134 10.83
Liguria 187467 10210 13 0.13 5.45 21 0 196 1566 15.34
Lazio 414397 8629 18 0.21 2.08 188 9 937 863 10.00
Marche 166234 6863 8 0.12 4.13 6 0 130 987 14.38
Campania 329863 4990 16 0.32 1.51 49 6 399 434 8.70
P.A. Trento 151105 4973 3 0.06 3.29 0 0 101 405 8.14
Puglia 238142 4609 3 0.07 1.94 17 0 94 551 11.95
Friuli Venezia Giulia 249091 3391 13 0.38 1.36 9 2 122 345 10.17
Abruzzo 127417 3377 4 0.12 2.65 14 1 106 472 13.98
Sicilia 274288 3272 39 1.21 1.19 33 2 259 283 8.65
P.A. Bolzano 104108 2702 6 0.22 2.60 6 1 92 292 10.81
Umbria 120199 1465 0 0.00 1.22 7 0 17 80 5.46
Sardegna 105701 1394 0 0.00 1.32 3 0 23 134 9.61
Calabria 119710 1262 7 0.56 1.05 3 1 93 97 7.69
Valle d’Aosta 21408 1208 0 0.00 5.64 1 0 12 146 12.09
Molise 27535 470 0 0.00 1.71 1 0 26 23 4.89
Basilicata 46818 449 0 0.00 0.96 2 0 47 28 6.24

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 59131 58 0.10 5673 3 0.05 9.59 6925.89 664.47 1 in 144
Ontario 40953 80 0.20 2816 3 0.11 6.88 2783.68 191.41 1 in 359
Alberta 10716 113 1.07 195 5 2.63 1.82 2428.20 44.19 1 in 412
British Columbia 3591 29 0.81 194 0 0.00 5.40 702.61 37.96 1 in 1423
Saskatchewan 1306 38 3.00 18 1 5.88 1.38 1105.22 15.23 1 in 905
Nova Scotia 1067 0 0.00 64 0 0.00 6.00 1091.61 65.48 1 in 916
Manitoba 409 2 0.49 8 0 0.00 1.96 296.91 5.81 1 in 3368
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 3151 25 0.79
Guangdong 1678 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 933 9 0.96
Jiangxi 932 1 0.11
Shandong 799 7 0.88
Shanghai 744 7 0.94
Jiangsu 655 0 0.00
Xinjiang 608 3 0.49
Sichuan 604 3 0.50
Chongqing 583 6 1.03
Fujian 366 1 0.27
Hebei 349 6 1.72
Shaanxi 324 3 0.93
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Liaoning 233 2 0.86
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 13737.82 464.72 1 in 73
Brazil 12470.63 436.04 1 in 80
India 1220.87 26.68 1 in 819
Russia 5764.66 95.35 1 in 173
South Africa 8500.86 137.73 1 in 118
Mexico 3221.20 356.04 1 in 310
Peru 12455.18 584.89 1 in 80
Chile 19586.48 519.50 1 in 51
United Kingdom 4574.20 693.62 1 in 219
Iran 3715.25 204.15 1 in 269
Spain 6117.23 609.58 1 in 163
Pakistan 1408.13 30.07 1 in 710
Colombia 5625.74 199.88 1 in 178
Saudi Arabia 8324.80 86.28 1 in 120
Italy 4086.61 580.89 1 in 245
Bangladesh NA NA 1 in NA
Turkey 2844.83 70.21 1 in 352
France 3320.93 451.43 1 in 301
Germany 2530.92 110.45 1 in 395
Argentina 4187.33 77.73 1 in 239

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 224863 23525 10.46
Los Angeles California 186036 4559 2.45
Miami-Dade Florida 115916 1515 1.31
Maricopa Arizona 114852 2011 1.75
Cook Illinois 104687 4872 4.65
Harris Texas 70847 707 1.00
Broward Florida 54312 676 1.24
Dallas Texas 49269 664 1.35
Suffolk New York 43170 1996 4.62
Nassau New York 43158 2194 5.08
Bexar Texas 40253 545 1.35
Clark Nevada 40193 664 1.65
Riverside California 36629 688 1.88
Westchester New York 35913 1445 4.02
Orange California 35778 604 1.69
Palm Beach Florida 32696 806 2.47
San Bernardino California 31688 419 1.32
Philadelphia Pennsylvania 30213 1691 5.60
Hillsborough Florida 28742 331 1.15
San Diego California 28688 558 1.95
Orange Florida 28591 212 0.74
Tarrant Texas 27151 359 1.32
Wayne Michigan 26924 2798 10.39
Middlesex Massachusetts 25617 1971 7.69
Prince George’s Maryland 22183 734 3.31
Suffolk Massachusetts 21113 1054 4.99
Duval Florida 20816 152 0.73
Bergen New Jersey 20412 2040 9.99
Mecklenburg North Carolina 20261 195 0.96
Travis Texas 20187 220 1.09
Shelby Tennessee 20082 275 1.37
Essex New Jersey 19441 2100 10.80
Hudson New Jersey 19434 1499 7.71
Milwaukee Wisconsin 19069 433 2.27
Salt Lake Utah 18817 171 0.91
Davidson Tennessee 18676 195 1.04
Kern California 18411 139 0.75
Fairfield Connecticut 17786 1406 7.91
Middlesex New Jersey 17626 1403 7.96
Montgomery Maryland 17397 789 4.54
Passaic New Jersey 17384 1242 7.14
Fulton Georgia 17286 383 2.22
Essex Massachusetts 17169 1175 6.84
Hennepin Minnesota 17092 810 4.74
Gwinnett Georgia 16711 228 1.36
Franklin Ohio 16630 507 3.05
Union New Jersey 16456 1346 8.18
Hidalgo Texas 16375 616 3.76
Pinellas Florida 16114 418 2.59
Pima Arizona 15884 450 2.83
Fairfax Virginia 15606 519 3.33
Lee Florida 15137 286 1.89
King Washington 15025 649 4.32
Out of GA Georgia 14741 75 0.51
Providence Rhode Island 14549 0 0.00
Oakland Michigan 14494 1126 7.77
Fresno California 14312 120 0.84
Marion Indiana 14270 717 5.02
Jefferson Louisiana 14026 513 3.66
El Paso Texas 13939 232 1.66
Rockland New York 13860 674 4.86
Worcester Massachusetts 13243 986 7.45
New Haven Connecticut 13013 1101 8.46
Hartford Connecticut 12561 1411 11.23
St. Louis Missouri 12548 648 5.16
Polk Florida 12281 262 2.13
Cuyahoga Ohio 12212 465 3.81
District of Columbia District of Columbia 12057 584 4.84
DeKalb Georgia 11916 213 1.79
Lake Illinois 11752 440 3.74
Baltimore Maryland 11615 545 4.69
Nueces Texas 11390 166 1.46
San Joaquin California 11342 151 1.33
Charleston South Carolina 11260 158 1.40
DuPage Illinois 11177 509 4.55
Alameda California 11131 182 1.64
Orange New York 11072 489 4.42
Baltimore City Maryland 11004 406 3.69
Jefferson Alabama 10939 220 2.01
Cobb Georgia 10920 297 2.72
Yuma Arizona 10761 247 2.30
Wake North Carolina 10684 126 1.18
East Baton Rouge Louisiana 10576 325 3.07
Ocean New Jersey 10356 1014 9.79
Orleans Louisiana 10204 560 5.49
Norfolk Massachusetts 10160 979 9.64
Douglas Nebraska 10050 127 1.26
Monmouth New Jersey 10004 858 8.58
Greenville South Carolina 9876 175 1.77
Yakima Washington 9865 204 2.07
Santa Clara California 9731 190 1.95
Montgomery Pennsylvania 9723 847 8.71
Sacramento California 9664 127 1.31
Denver Colorado 9529 408 4.28
Cameron Texas 9424 304 3.23
Polk Iowa 9388 201 2.14
Collier Florida 9355 121 1.29
Macomb Michigan 9314 936 10.05
Imperial California 9298 200 2.15
Tulare California 9241 173 1.87

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc